Update app.py

app.py

@@ -5,8 +5,6 @@ import spaces
 import torch
 from diffusers import  QwenImagePipeline
 
-from para_attn.first_block_cache.diffusers_adapters import apply_cache_on_pipe
-
 dtype = torch.bfloat16
 device = "cuda" if torch.cuda.is_available() else "cpu"
 
@@ -33,11 +31,7 @@ def infer(prompt, seed=42, randomize_seed=False, width=1024, height=1024, guidan
         pipe.unload_lora_weights()
         pipe.load_lora_weights(lora_id.strip())
 
-    apply_cache_on_pipe(
-       pipe,
-       # residual_diff_threshold=0.2,
-   )
-    
+
     try:
         image = pipe(
         prompt=prompt,